Other sites

2414 search results for "twitter"

Over the past few weeks I’ve been running batches of JAGS simulations from R. Although these models typically converged within an hour or so, more complex models can take days, or even weeks to converge. Because we, as humans, are … Continue reading →

Let’s start this blog off right, with the stupidest R mistake I’ve ever made (I think). In the R package that I write, R/qtl, one of the main file formats is a comma-delimited file, where the blank cells in the second row are important, as they distinguish the initial phenotype columns from the genetic marker

I’m at the useR! Conference in Coventry, UK, this week. It’s been every bit as inspiring, interesting and useful as I’d hoped. Particularly interesting were the Lightning talks: a series of 5 minute presentations with one minute in between, with each presentation having 15 slides of 20 sec each, moved forward automatically. It worked extremely

I’m talking tomorrow at useR! on making ggplots interactive with the gWidgets GUI framework. For those of you at useR, here is the code and data, so you can play along on your laptops. For everyone else, I’ll make the slides available in the next few days so you can see what you missed. Note

Example: Car seat occupation: Algorithm must decide whether airbag opens: Must open for adult but not for small child or if the seat if empty a few others I missed. Key questions are: What type of design: 32 run regular fractional factorial Response measurement – depends on dummy position, so repeat for 3 different dummy

Wilem Ligtenberg – GPU computing and R Why GPU computing – theoretical GFLOPs for a GPU is three times greater than a CPU. Use GPUs for same instruction multiple data problems (SIMD). Initially GPUs were developed for texture problems. For example, a wall smashed into lots of pieces. Each core handled a single piece. CUDA

These are my rough notes on the Kaleidoscope Ic session. David Smith – The R Ecosystem (useR! 2011) David Smith works for Revolution Analytics. Quick overview of the R project – useR, r-journal, and r-forge. Social media starting to play a part in R – Google+, twitter, stackoverflow, and the traditional R mailing list. The